Improving yield through image-based structural analysis of cereals. Feeding an increasing world population under the threat of climate change requires the development of new plant varieties capable of delivering higher yield in more marginal conditions. This project will develop image-based technologies for accurately estimating plant yield which will improve the effectiveness of plant breeding processes.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0453684
Funder
Australian Research Council
Funding Amount
$301,921.00
Summary
Joint facility for genome analysis. This project will establish a joint facility for genome analysis supported by the Universities of Adelaide and South Australia, the Australian Centre for Plant Functional Genomics and the Australian Wine Research Institute. The facility will purchase novel equipment for high-throughput gene selection and screening, advanced DNA and protein imaging and a dedicated reconfigurable computing platform for advanced bioinformatic analysis. The equipment has been ta ....Joint facility for genome analysis. This project will establish a joint facility for genome analysis supported by the Universities of Adelaide and South Australia, the Australian Centre for Plant Functional Genomics and the Australian Wine Research Institute. The facility will purchase novel equipment for high-throughput gene selection and screening, advanced DNA and protein imaging and a dedicated reconfigurable computing platform for advanced bioinformatic analysis. The equipment has been targeted to overcome technical barriers that limit the rapid adoption of genome discovery projects in South Australia. This facility will result in new plant gene discovery and improved understanding of fundamental plant processes.Read moreRead less
Co-variant analysis and statistical modelling for improved crop yield. This project plans to develop mathematical tools that will help to identify cereal plant varieties with the highest yield. This is a critical responsibility of plant breeders and many Australian breeders acquire and store important information related to the issue. However, there are as yet no mathematical tools that are able to co-analyse the heterogeneous and high-dimensional data in order to understand how external and int ....Co-variant analysis and statistical modelling for improved crop yield. This project plans to develop mathematical tools that will help to identify cereal plant varieties with the highest yield. This is a critical responsibility of plant breeders and many Australian breeders acquire and store important information related to the issue. However, there are as yet no mathematical tools that are able to co-analyse the heterogeneous and high-dimensional data in order to understand how external and internal factors correlate with the major growth and development stages at the crop level. This project seeks to develop and implement mathematical and statistical tools to analyse genetic, agronomic and phenomic factors that affect plant performance, to deliver advanced yield prediction.Read moreRead less
Enhancing stress tolerance in plants by manipulation of properties of stress responsive transcription factors. This project will describe structural and functional properties of cereal transcription factors that are critical to plant development under hostile environmental conditions. The knowledge of the revealed molecular mechanisms of transcription factors will open avenues to developments of improved crop plants.